--- a/busui/owa/modules/base/js/includes/jquery/flot/API.txt +++ b/busui/owa/modules/base/js/includes/jquery/flot/API.txt @@ -1,1 +1,1025 @@ - +Flot Reference +-------------- + +Consider a call to the plot function: + + var plot = $.plot(placeholder, data, options) + +The placeholder is a jQuery object or DOM element or jQuery expression +that the plot will be put into. This placeholder needs to have its +width and height set as explained in the README (go read that now if +you haven't, it's short). The plot will modify some properties of the +placeholder so it's recommended you simply pass in a div that you +don't use for anything else. Make sure you check any fancy styling +you apply to the div, e.g. background images have been reported to be a +problem on IE 7. + +The format of the data is documented below, as is the available +options. The "plot" object returned has some methods you can call. +These are documented separately below. + +Note that in general Flot gives no guarantees if you change any of the +objects you pass in to the plot function or get out of it since +they're not necessarily deep-copied. + + +Data Format +----------- + +The data is an array of data series: + + [ series1, series2, ... ] + +A series can either be raw data or an object with properties. The raw +data format is an array of points: + + [ [x1, y1], [x2, y2], ... ] + +E.g. + + [ [1, 3], [2, 14.01], [3.5, 3.14] ] + +Note that to simplify the internal logic in Flot both the x and y +values must be numbers (even if specifying time series, see below for +how to do this). This is a common problem because you might retrieve +data from the database and serialize them directly to JSON without +noticing the wrong type. If you're getting mysterious errors, double +check that you're inputting numbers and not strings. + +If a null is specified as a point or if one of the coordinates is null +or couldn't be converted to a number, the point is ignored when +drawing. As a special case, a null value for lines is interpreted as a +line segment end, i.e. the points before and after the null value are +not connected. + +Lines and points take two coordinates. For bars, you can specify a +third coordinate which is the bottom of the bar (defaults to 0). + +The format of a single series object is as follows: + + { + color: color or number + data: rawdata + label: string + lines: specific lines options + bars: specific bars options + points: specific points options + xaxis: 1 or 2 + yaxis: 1 or 2 + clickable: boolean + hoverable: boolean + shadowSize: number + } + +You don't have to specify any of them except the data, the rest are +options that will get default values. Typically you'd only specify +label and data, like this: + + { + label: "y = 3", + data: [[0, 3], [10, 3]] + } + +The label is used for the legend, if you don't specify one, the series +will not show up in the legend. + +If you don't specify color, the series will get a color from the +auto-generated colors. The color is either a CSS color specification +(like "rgb(255, 100, 123)") or an integer that specifies which of +auto-generated colors to select, e.g. 0 will get color no. 0, etc. + +The latter is mostly useful if you let the user add and remove series, +in which case you can hard-code the color index to prevent the colors +from jumping around between the series. + +The "xaxis" and "yaxis" options specify which axis to use, specify 2 +to get the secondary axis (x axis at top or y axis to the right). +E.g., you can use this to make a dual axis plot by specifying +{ yaxis: 2 } for one data series. + +"clickable" and "hoverable" can be set to false to disable +interactivity for specific series if interactivity is turned on in +the plot, see below. + +The rest of the options are all documented below as they are the same +as the default options passed in via the options parameter in the plot +commmand. When you specify them for a specific data series, they will +override the default options for the plot for that data series. + +Here's a complete example of a simple data specification: + + [ { label: "Foo", data: [ [10, 1], [17, -14], [30, 5] ] }, + { label: "Bar", data: [ [11, 13], [19, 11], [30, -7] ] } ] + + +Plot Options +------------ + +All options are completely optional. They are documented individually +below, to change them you just specify them in an object, e.g. + + var options = { + series: { + lines: { show: true }, + points: { show: true } + } + }; + + $.plot(placeholder, data, options); + + +Customizing the legend +====================== + + legend: { + show: boolean + labelFormatter: null or (fn: string, series object -> string) + labelBoxBorderColor: color + noColumns: number + position: "ne" or "nw" or "se" or "sw" + margin: number of pixels or [x margin, y margin] + backgroundColor: null or color + backgroundOpacity: number between 0 and 1 + container: null or jQuery object/DOM element/jQuery expression + } + +The legend is generated as a table with the data series labels and +small label boxes with the color of the series. If you want to format +the labels in some way, e.g. make them to links, you can pass in a +function for "labelFormatter". Here's an example that makes them +clickable: + + labelFormatter: function(label, series) { + // series is the series object for the label + return '<a href="#' + label + '">' + label + '</a>'; + } + +"noColumns" is the number of columns to divide the legend table into. +"position" specifies the overall placement of the legend within the +plot (top-right, top-left, etc.) and margin the distance to the plot +edge (this can be either a number or an array of two numbers like [x, +y]). "backgroundColor" and "backgroundOpacity" specifies the +background. The default is a partly transparent auto-detected +background. + +If you want the legend to appear somewhere else in the DOM, you can +specify "container" as a jQuery object/expression to put the legend +table into. The "position" and "margin" etc. options will then be +ignored. Note that Flot will overwrite the contents of the container. + + +Customizing the axes +==================== + + xaxis, yaxis, x2axis, y2axis: { + mode: null or "time" + min: null or number + max: null or number + autoscaleMargin: null or number + + labelWidth: null or number + labelHeight: null or number + + transform: null or fn: number -> number + inverseTransform: null or fn: number -> number + + ticks: null or number or ticks array or (fn: range -> ticks array) + tickSize: number or array + minTickSize: number or array + tickFormatter: (fn: number, object -> string) or string + tickDecimals: null or number + } + +All axes have the same kind of options. The "mode" option +determines how the data is interpreted, the default of null means as +decimal numbers. Use "time" for time series data, see the next section. + +The options "min"/"max" are the precise minimum/maximum value on the +scale. If you don't specify either of them, a value will automatically +be chosen based on the minimum/maximum data values. + +The "autoscaleMargin" is a bit esoteric: it's the fraction of margin +that the scaling algorithm will add to avoid that the outermost points +ends up on the grid border. Note that this margin is only applied +when a min or max value is not explicitly set. If a margin is +specified, the plot will furthermore extend the axis end-point to the +nearest whole tick. The default value is "null" for the x axis and +0.02 for the y axis which seems appropriate for most cases. + +"labelWidth" and "labelHeight" specifies a fixed size of the tick +labels in pixels. They're useful in case you need to align several +plots. + +"transform" and "inverseTransform" are callbacks you can put in to +change the way the data is drawn. You can design a function to +compress or expand certain parts of the axis non-linearly, e.g. +suppress weekends or compress far away points with a logarithm or some +other means. When Flot draws the plot, each value is first put through +the transform function. Here's an example, the x axis can be turned +into a natural logarithm axis with the following code: + + xaxis: { + transform: function (v) { return Math.log(v); }, + inverseTransform: function (v) { return Math.exp(v); } + } + +Note that for finding extrema, Flot assumes that the transform +function does not reorder values (monotonicity is assumed). + +The inverseTransform is simply the inverse of the transform function +(so v == inverseTransform(transform(v)) for all relevant v). It is +required for converting from canvas coordinates to data coordinates, +e.g. for a mouse interaction where a certain pixel is clicked. If you +don't use any interactive features of Flot, you may not need it. + + +The rest of the options deal with the ticks. + +If you don't specify any ticks, a tick generator algorithm will make +some for you. The algorithm has two passes. It first estimates how +many ticks would be reasonable and uses this number to compute a nice +round tick interval size. Then it generates the ticks. + +You can specify how many ticks the algorithm aims for by setting +"ticks" to a number. The algorithm always tries to generate reasonably +round tick values so even if you ask for three ticks, you might get +five if that fits better with the rounding. If you don't want any +ticks at all, set "ticks" to 0 or an empty array. + +Another option is to skip the rounding part and directly set the tick +interval size with "tickSize". If you set it to 2, you'll get ticks at +2, 4, 6, etc. Alternatively, you can specify that you just don't want +ticks at a size less than a specific tick size with "minTickSize". +Note that for time series, the format is an array like [2, "month"], +see the next section. + +If you want to completely override the tick algorithm, you can specify +an array for "ticks", either like this: + + ticks: [0, 1.2, 2.4] + +Or like this where the labels are also customized: + + ticks: [[0, "zero"], [1.2, "one mark"], [2.4, "two marks"]] + +You can mix the two if you like. + +For extra flexibility you can specify a function as the "ticks" +parameter. The function will be called with an object with the axis +min and max and should return a ticks array. Here's a simplistic tick +generator that spits out intervals of pi, suitable for use on the x +axis for trigonometric functions: + + function piTickGenerator(axis) { + var res = [], i = Math.floor(axis.min / Math.PI); + do { + var v = i * Math.PI; + res.push([v, i + "\u03c0"]); + ++i; + } while (v < axis.max); + + return res; + } + + +You can control how the ticks look like with "tickDecimals", the +number of decimals to display (default is auto-detected). + +Alternatively, for ultimate control over how ticks look like you can +provide a function to "tickFormatter". The function is passed two +parameters, the tick value and an "axis" object with information, and +should return a string. The default formatter looks like this: + + function formatter(val, axis) { + return val.toFixed(axis.tickDecimals); + } + +The axis object has "min" and "max" with the range of the axis, +"tickDecimals" with the number of decimals to round the value to and +"tickSize" with the size of the interval between ticks as calculated +by the automatic axis scaling algorithm (or specified by you). Here's +an example of a custom formatter: + + function suffixFormatter(val, axis) { + if (val > 1000000) + return (val / 1000000).toFixed(axis.tickDecimals) + " MB"; + else if (val > 1000) + return (val / 1000).toFixed(axis.tickDecimals) + " kB"; + else + return val.toFixed(axis.tickDecimals) + " B"; + } + +Time series data +================ + +Time series are a bit more difficult than scalar data because +calendars don't follow a simple base 10 system. For many cases, Flot +abstracts most of this away, but it can still be a bit difficult to +get the data into Flot. So we'll first discuss the data format. + +The time series support in Flot is based on Javascript timestamps, +i.e. everywhere a time value is expected or handed over, a Javascript +timestamp number is used. This is a number, not a Date object. A +Javascript timestamp is the number of milliseconds since January 1, +1970 00:00:00 UTC. This is almost the same as Unix timestamps, except it's +in milliseconds, so remember to multiply by 1000! + +You can see a timestamp like this + + alert((new Date()).getTime()) + +Normally you want the timestamps to be displayed according to a +certain time zone, usually the time zone in which the data has been +produced. However, Flot always displays timestamps according to UTC. +It has to as the only alternative with core Javascript is to interpret +the timestamps according to the time zone that the visitor is in, +which means that the ticks will shift unpredictably with the time zone +and daylight savings of each visitor. + +So given that there's no good support for custom time zones in +Javascript, you'll have to take care of this server-side. + +The easiest way to think about it is to pretend that the data +production time zone is UTC, even if it isn't. So if you have a +datapoint at 2002-02-20 08:00, you can generate a timestamp for eight +o'clock UTC even if it really happened eight o'clock UTC+0200. + +In PHP you can get an appropriate timestamp with +'strtotime("2002-02-20 UTC") * 1000', in Python with +'calendar.timegm(datetime_object.timetuple()) * 1000', in .NET with +something like: + + public static int GetJavascriptTimestamp(System.DateTime input) + { + System.TimeSpan span = new System.TimeSpan(System.DateTime.Parse("1/1/1970").Ticks); + System.DateTime time = input.Subtract(span); + return (long)(time.Ticks / 10000); + } + +Javascript also has some support for parsing date strings, so it is +possible to generate the timestamps manually client-side. + +If you've already got the real UTC timestamp, it's too late to use the +pretend trick described above. But you can fix up the timestamps by +adding the time zone offset, e.g. for UTC+0200 you would add 2 hours +to the UTC timestamp you got. Then it'll look right on the plot. Most +programming environments have some means of getting the timezone +offset for a specific date (note that you need to get the offset for +each individual timestamp to account for daylight savings). + +Once you've gotten the timestamps into the data and specified "time" +as the axis mode, Flot will automatically generate relevant ticks and +format them. As always, you can tweak the ticks via the "ticks" option +- just remember that the values should be timestamps (numbers), not +Date objects. + +Tick generation and formatting can also be controlled separately +through the following axis options: + + minTickSize: array + timeformat: null or format string + monthNames: null or array of size 12 of strings + twelveHourClock: boolean + +Here "timeformat" is a format string to use. You might use it like +this: + + xaxis: { + mode: "time" + timeformat: "%y/%m/%d" + } + +This will result in tick labels like "2000/12/24". The following +specifiers are supported + + %h: hours + %H: hours (left-padded with a zero) + %M: minutes (left-padded with a zero) + %S: seconds (left-padded with a zero) + %d: day of month (1-31) + %m: month (1-12) + %y: year (four digits) + %b: month name (customizable) + %p: am/pm, additionally switches %h/%H to 12 hour instead of 24 + %P: AM/PM (uppercase version of %p) + +You can customize the month names with the "monthNames" option. For +instance, for Danish you might specify: + + monthNames: ["jan", "feb", "mar", "apr", "maj", "jun", "jul", "aug", "sep", "okt", "nov", "dec"] + +If you set "twelveHourClock" to true, the autogenerated timestamps +will use 12 hour AM/PM timestamps instead of 24 hour. + +The format string and month names are used by a very simple built-in +format function that takes a date object, a format string (and +optionally an array of month names) and returns the formatted string. +If needed, you can access it as $.plot.formatDate(date, formatstring, +monthNames) or even replace it with another more advanced function +from a date library if you're feeling adventurous. + +If everything else fails, you can control the formatting by specifying +a custom tick formatter function as usual. Here's a simple example +which will format December 24 as 24/12: + + tickFormatter: function (val, axis) { + var d = new Date(val); + return d.getUTCDate() + "/" + (d.getUTCMonth() + 1); + } + +Note that for the time mode "tickSize" and "minTickSize" are a bit +special in that they are arrays on the form "[value, unit]" where unit +is one of "second", "minute", "hour", "day", "month" and "year". So +you can specify + + minTickSize: [1, "month"] + +to get a tick interval size of at least 1 month and correspondingly, +if axis.tickSize is [2, "day"] in the tick formatter, the ticks have +been produced with two days in-between. + + + +Customizing the data series +=========================== + + series: { + lines, points, bars: { + show: boolean + lineWidth: number + fill: boolean or number + fillColor: null or color/gradient + } + + points: { + radius: number + } + + bars: { + barWidth: number + align: "left" or "center" + horizontal: boolean + } + + lines: { + steps: boolean + } + + shadowSize: number + } + + colors: [ color1, color2, ... ] + +The options inside "series: {}" are copied to each of the series. So +you can specify that all series should have bars by putting it in the +global options, or override it for individual series by specifying +bars in a particular the series object in the array of data. + +The most important options are "lines", "points" and "bars" that +specify whether and how lines, points and bars should be shown for +each data series. In case you don't specify anything at all, Flot will +default to showing lines (you can turn this off with +lines: { show: false}). You can specify the various types +independently of each other, and Flot will happily draw each of them +in turn (this is probably only useful for lines and points), e.g. + + var options = { + series: { + lines: { show: true, fill: true, fillColor: "rgba(255, 255, 255, 0.8)" }, + points: { show: true, fill: false } + } + }; + +"lineWidth" is the thickness of the line or outline in pixels. You can +set it to 0 to prevent a line or outline from being drawn; this will +also hide the shadow. + +"fill" is whether the shape should be filled. For lines, this produces +area graphs. You can use "fillColor" to specify the color of the fill. +If "fillColor" evaluates to false (default for everything except +points which are filled with white), the fill color is auto-set to the +color of the data series. You can adjust the opacity of the fill by +setting fill to a number between 0 (fully transparent) and 1 (fully +opaque). + +For bars, fillColor can be a gradient, see the gradient documentation +below. "barWidth" is the width of the bars in units of the x axis (or +the y axis if "horizontal" is true), contrary to most other measures +that are specified in pixels. For instance, for time series the unit +is milliseconds so 24 * 60 * 60 * 1000 produces bars with the width of +a day. "align" specifies whether a bar should be left-aligned +(default) or centered on top of the value it represents. When +"horizontal" is on, the bars are drawn horizontally, i.e. from the y +axis instead of the x axis; note that the bar end points are still +defined in the same way so you'll probably want to swap the +coordinates if you've been plotting vertical bars first. + +For lines, "steps" specifies whether two adjacent data points are +connected with a straight (possibly diagonal) line or with first a +horizontal and then a vertical line. Note that this transforms the +data by adding extra points. + +"shadowSize" is the default size of shadows in pixels. Set it to 0 to +remove shadows. + +The "colors" array specifies a default color theme to get colors for +the data series from. You can specify as many colors as you like, like +this: + + colors: ["#d18b2c", "#dba255", "#919733"] + +If there are more data series than colors, Flot will try to generate +extra colors by lightening and darkening colors in the theme. + + +Customizing the grid +==================== + + grid: { + show: boolean + aboveData: boolean + color: color + backgroundColor: color/gradient or null + tickColor: color + labelMargin: number + markings: array of markings or (fn: axes -> array of markings) + borderWidth: number + borderColor: color or null + clickable: boolean + hoverable: boolean + autoHighlight: boolean + mouseActiveRadius: number + } + +The grid is the thing with the axes and a number of ticks. "color" is +the color of the grid itself whereas "backgroundColor" specifies the +background color inside the grid area. The default value of null means +that the background is transparent. You can also set a gradient, see +the gradient documentation below. + +You can turn off the whole grid including tick labels by setting +"show" to false. "aboveData" determines whether the grid is drawn on +above the data or below (below is default). + +"tickColor" is the color of the ticks and "labelMargin" is the spacing +between tick labels and the grid. Note that you can style the tick +labels with CSS, e.g. to change the color. They have class "tickLabel". +"borderWidth" is the width of the border around the plot. Set it to 0 +to disable the border. You can also set "borderColor" if you want the +border to have a different color than the grid lines. + +"markings" is used to draw simple lines and rectangular areas in the +background of the plot. You can either specify an array of ranges on +the form { xaxis: { from, to }, yaxis: { from, to } } (secondary axis +coordinates with x2axis/y2axis) or with a function that returns such +an array given the axes for the plot in an object as the first +parameter. + +You can set the color of markings by specifying "color" in the ranges +object. Here's an example array: + + markings: [ { xaxis: { from: 0, to: 2 }, yaxis: { from: 10, to: 10 }, color: "#bb0000" }, ... ] + +If you leave out one of the values, that value is assumed to go to the +border of the plot. So for example if you only specify { xaxis: { +from: 0, to: 2 } } it means an area that extends from the top to the +bottom of the plot in the x range 0-2. + +A line is drawn if from and to are the same, e.g. + + markings: [ { yaxis: { from: 1, to: 1 } }, ... ] + +would draw a line parallel to the x axis at y = 1. You can control the +line width with "lineWidth" in the range object. + +An example function might look like this: + + markings: function (axes) { + var markings = []; + for (var x = Math.floor(axes.xaxis.min); x < axes.xaxis.max; x += 2) + markings.push({ xaxis: { from: x, to: x + 1 } }); + return markings; + } + + +If you set "clickable" to true, the plot will listen for click events +on the plot area and fire a "plotclick" event on the placeholder with +a position and a nearby data item object as parameters. The coordinates +are available both in the unit of the axes (not in pixels) and in +global screen coordinates. + +Likewise, if you set "hoverable" to true, the plot will listen for +mouse move events on the plot area and fire a "plothover" event with +the same parameters as the "plotclick" event. If "autoHighlight" is +true (the default), nearby data items are highlighted automatically. +If needed, you can disable highlighting and control it yourself with +the highlight/unhighlight plot methods described elsewhere. + +You can use "plotclick" and "plothover" events like this: + + $.plot($("#placeholder"), [ d ], { grid: { clickable: true } }); + + $("#placeholder").bind("plotclick", function (event, pos, item) { + alert("You clicked at " + pos.x + ", " + pos.y); + // secondary axis coordinates if present are in pos.x2, pos.y2, + // if you need global screen coordinates, they are pos.pageX, pos.pageY + + if (item) { + highlight(item.series, item.datapoint); + alert("You clicked a point!"); + } + }); + +The item object in this example is either null or a nearby object on the form: + + item: { + datapoint: the point, e.g. [0, 2] + dataIndex: the index of the point in the data array + series: the series object + seriesIndex: the index of the series + pageX, pageY: the global screen coordinates of the point + } + +For instance, if you have specified the data like this + + $.plot($("#placeholder"), [ { label: "Foo", data: [[0, 10], [7, 3]] } ], ...); + +and the mouse is near the point (7, 3), "datapoint" is [7, 3], +"dataIndex" will be 1, "series" is a normalized series object with +among other things the "Foo" label in series.label and the color in +series.color, and "seriesIndex" is 0. Note that plugins and options +that transform the data can shift the indexes from what you specified +in the original data array. + +If you use the above events to update some other information and want +to clear out that info in case the mouse goes away, you'll probably +also need to listen to "mouseout" events on the placeholder div. + +"mouseActiveRadius" specifies how far the mouse can be from an item +and still activate it. If there are two or more points within this +radius, Flot chooses the closest item. For bars, the top-most bar +(from the latest specified data series) is chosen. + +If you want to disable interactivity for a specific data series, you +can set "hoverable" and "clickable" to false in the options for that +series, like this { data: [...], label: "Foo", clickable: false }. + + +Specifying gradients +==================== + +A gradient is specified like this: + + { colors: [ color1, color2, ... ] } + +For instance, you might specify a background on the grid going from +black to gray like this: + + grid: { + backgroundColor: { colors: ["#000", "#999"] } + } + +For the series you can specify the gradient as an object that +specifies the scaling of the brightness and the opacity of the series +color, e.g. + + { colors: [{ opacity: 0.8 }, { brightness: 0.6, opacity: 0.8 } ] } + +where the first color simply has its alpha scaled, whereas the second +is also darkened. For instance, for bars the following makes the bars +gradually disappear, without outline: + + bars: { + show: true, + lineWidth: 0, + fill: true, + fillColor: { colors: [ { opacity: 0.8 }, { opacity: 0.1 } ] } + } + +Flot currently only supports vertical gradients drawn from top to +bottom because that's what works with IE. + + +Plot Methods +------------ + +The Plot object returned from the plot function has some methods you +can call: + + - highlight(series, datapoint) + + Highlight a specific datapoint in the data series. You can either + specify the actual objects, e.g. if you got them from a + "plotclick" event, or you can specify the indices, e.g. + highlight(1, 3) to highlight the fourth point in the second series + (remember, zero-based indexing). + + + - unhighlight(series, datapoint) or unhighlight() + + Remove the highlighting of the point, same parameters as + highlight. + + If you call unhighlight with no parameters, e.g. as + plot.unhighlight(), all current highlights are removed. + + + - setData(data) + + You can use this to reset the data used. Note that axis scaling, + ticks, legend etc. will not be recomputed (use setupGrid() to do + that). You'll probably want to call draw() afterwards. + + You can use this function to speed up redrawing a small plot if + you know that the axes won't change. Put in the new data with + setData(newdata), call draw(), and you're good to go. Note that + for large datasets, almost all the time is consumed in draw() + plotting the data so in this case don't bother. + + + - setupGrid() + + Recalculate and set axis scaling, ticks, legend etc. + + Note that because of the drawing model of the canvas, this + function will immediately redraw (actually reinsert in the DOM) + the labels and the legend, but not the actual tick lines because + they're drawn on the canvas. You need to call draw() to get the + canvas redrawn. + + - draw() + + Redraws the plot canvas. + + - triggerRedrawOverlay() + + Schedules an update of an overlay canvas used for drawing + interactive things like a selection and point highlights. This + is mostly useful for writing plugins. The redraw doesn't happen + immediately, instead a timer is set to catch multiple successive + redraws (e.g. from a mousemove). + + - width()/height() + + Gets the width and height of the plotting area inside the grid. + This is smaller than the canvas or placeholder dimensions as some + extra space is needed (e.g. for labels). + + - offset() + + Returns the offset of the plotting area inside the grid relative + to the document, useful for instance for calculating mouse + positions (event.pageX/Y minus this offset is the pixel position + inside the plot). + + - pointOffset({ x: xpos, y: ypos }) + + Returns the calculated offset of the data point at (x, y) in data + space within the placeholder div. If you are working with dual axes, you + can specify the x and y axis references, e.g. + + o = pointOffset({ x: xpos, y: ypos, xaxis: 2, yaxis: 2 }) + // o.left and o.top now contains the offset within the div + + +There are also some members that let you peek inside the internal +workings of Flot which is useful in some cases. Note that if you change +something in the objects returned, you're changing the objects used by +Flot to keep track of its state, so be careful. + + - getData() + + Returns an array of the data series currently used in normalized + form with missing settings filled in according to the global + options. So for instance to find out what color Flot has assigned + to the data series, you could do this: + + var series = plot.getData(); + for (var i = 0; i < series.length; ++i) + alert(series[i].color); + + A notable other interesting field besides color is datapoints + which has a field "points" with the normalized data points in a + flat array (the field "pointsize" is the increment in the flat + array to get to the next point so for a dataset consisting only of + (x,y) pairs it would be 2). + + - getAxes() + + Gets an object with the axes settings as { xaxis, yaxis, x2axis, + y2axis }. + + Various things are stuffed inside an axis object, e.g. you could + use getAxes().xaxis.ticks to find out what the ticks are for the + xaxis. Two other useful attributes are p2c and c2p, functions for + transforming from data point space to the canvas plot space and + back. Both returns values that are offset with the plot offset. + + - getPlaceholder() + + Returns placeholder that the plot was put into. This can be useful + for plugins for adding DOM elements or firing events. + + - getCanvas() + + Returns the canvas used for drawing in case you need to hack on it + yourself. You'll probably need to get the plot offset too. + + - getPlotOffset() + + Gets the offset that the grid has within the canvas as an object + with distances from the canvas edges as "left", "right", "top", + "bottom". I.e., if you draw a circle on the canvas with the center + placed at (left, top), its center will be at the top-most, left + corner of the grid. + + - getOptions() + + Gets the options for the plot, in a normalized format with default + values filled in. + + +Hooks +===== + +In addition to the public methods, the Plot object also has some hooks +that can be used to modify the plotting process. You can install a +callback function at various points in the process, the function then +gets access to the internal data structures in Flot. + +Here's an overview of the phases Flot goes through: + + 1. Plugin initialization, parsing options + + 2. Constructing the canvases used for drawing + + 3. Set data: parsing data specification, calculating colors, + copying raw data points into internal format, + normalizing them, finding max/min for axis auto-scaling + + 4. Grid setup: calculating axis spacing, ticks, inserting tick + labels, the legend + + 5. Draw: drawing the grid, drawing each of the series in turn + + 6. Setting up event handling for interactive features + + 7. Responding to events, if any + +Each hook is simply a function which is put in the appropriate array. +You can add them through the "hooks" option, and they are also available +after the plot is constructed as the "hooks" attribute on the returned +plot object, e.g. + + // define a simple draw hook + function hellohook(plot, canvascontext) { alert("hello!"); }; + + // pass it in, in an array since we might want to specify several + var plot = $.plot(placeholder, data, { hooks: { draw: [hellohook] } }); + + // we can now find it again in plot.hooks.draw[0] unless a plugin + // has added other hooks + +The available hooks are described below. All hook callbacks get the +plot object as first parameter. You can find some examples of defined +hooks in the plugins bundled with Flot. + + - processOptions [phase 1] + + function(plot, options) + + Called after Flot has parsed and merged options. Useful in the + instance where customizations beyond simple merging of default + values is needed. A plugin might use it to detect that it has been + enabled and then turn on or off other options. + + + - processRawData [phase 3] + + function(plot, series, data, datapoints) + + Called before Flot copies and normalizes the raw data for the given + series. If the function fills in datapoints.points with normalized + points and sets datapoints.pointsize to the size of the points, + Flot will skip the copying/normalization step for this series. + + In any case, you might be interested in setting datapoints.format, + an array of objects for specifying how a point is normalized and + how it interferes with axis scaling. + + The default format array for points is something along the lines of: + + [ + { x: true, number: true, required: true }, + { y: true, number: true, required: true } + ] + + The first object means that for the first coordinate it should be + taken into account when scaling the x axis, that it must be a + number, and that it is required - so if it is null or cannot be + converted to a number, the whole point will be zeroed out with + nulls. Beyond these you can also specify "defaultValue", a value to + use if the coordinate is null. This is for instance handy for bars + where one can omit the third coordinate (the bottom of the bar) + which then defaults to 0. + + + - processDatapoints [phase 3] + + function(plot, series, datapoints) + + Called after normalization of the given series but before finding + min/max of the data points. This hook is useful for implementing data + transformations. "datapoints" contains the normalized data points in + a flat array as datapoints.points with the size of a single point + given in datapoints.pointsize. Here's a simple transform that + multiplies all y coordinates by 2: + + function multiply(plot, series, datapoints) { + var points = datapoints.points, ps = datapoints.pointsize; + for (var i = 0; i < points.length; i += ps) + points[i + 1] *= 2; + } + + Note that you must leave datapoints in a good condition as Flot + doesn't check it or do any normalization on it afterwards. + + + - draw [phase 5] + + function(plot, canvascontext) + + Hook for drawing on the canvas. Called after the grid is drawn + (unless it's disabled) and the series have been plotted (in case + any points, lines or bars have been turned on). For examples of how + to draw things, look at the source code. + + + - bindEvents [phase 6] + + function(plot, eventHolder) + + Called after Flot has setup its event handlers. Should set any + necessary event handlers on eventHolder, a jQuery object with the + canvas, e.g. + + function (plot, eventHolder) { + eventHolder.mousedown(function (e) { + alert("You pressed the mouse at " + e.pageX + " " + e.pageY); + }); + } + + Interesting events include click, mousemove, mouseup/down. You can + use all jQuery events. Usually, the event handlers will update the + state by drawing something (add a drawOverlay hook and call + triggerRedrawOverlay) or firing an externally visible event for + user code. See the crosshair plugin for an example. + + Currently, eventHolder actually contains both the static canvas + used for the plot itself and the overlay canvas used for + interactive features because some versions of IE get the stacking + order wrong. The hook only gets one event, though (either for the + overlay or for the static canvas). + + + - drawOverlay [phase 7] + + function (plot, canvascontext) + + The drawOverlay hook is used for interactive things that need a + canvas to draw on. The model currently used by Flot works the way + that an extra overlay canvas is positioned on top of the static + canvas. This overlay is cleared and then completely redrawn + whenever something interesting happens. This hook is called when + the overlay canvas is to be redrawn. + + "canvascontext" is the 2D context of the overlay canvas. You can + use this to draw things. You'll most likely need some of the + metrics computed by Flot, e.g. plot.width()/plot.height(). See the + crosshair plugin for an example. + + + +Plugins +------- + +Plugins extend the functionality of Flot. To use a plugin, simply +include its Javascript file after Flot in the HTML page. + +If you're worried about download size/latency, you can concatenate all +the plugins you use, and Flot itself for that matter, into one big file +(make sure you get the order right), then optionally run it through a +Javascript minifier such as YUI Compressor. + +Here's a brief explanation of how the plugin plumbings work: + +Each plugin registers itself in the global array $.plot.plugins. When +you make a new plot object with $.plot, Flot goes through this array +calling the "init" function of each plugin and merging default options +from its "option" attribute. The init function gets a reference to the +plot object created and uses this to register hooks and add new public +methods if needed. + +See the PLUGINS.txt file for details on how to write a plugin. As the +above description hints, it's actually pretty easy. +